ReviewGenes, brain, and behavior2016
Decoding the non-coding genome: elucidating genetic risk outside the coding genome.
Review in Genes, brain, and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- Predicting anxiety-related personality traits by means of serotonergic VNTR variants STin2 and 5-HTTLPR.Journal of mood and anxiety disorders · 2023Article
- Mapping microRNA expression quantitative trait loci in the prenatal human brain implicates miR-1908-5p expression in bipolar disorder and other brain-related traits.Human molecular genetics · 2023Article
- Identification of brain cell types underlying genetic association with word reading and correlated traits.Molecular psychiatry · 2023Article
- dbBIP: a comprehensive bipolar disorder database for genetic research.Database : the journal of biological databases and curation · 2022Article
- Novel Compound Heterozygous Mutation inGenes · 2021Article
- Article
- Investigating the Causal Effect of Brain Expression ofFrontiers in bioengineering and biotechnology · 2020Article
- Novel Insight Into the Etiology of Autism Spectrum Disorder Gained by Integrating Expression Data With Genome-wide Association Statistics.Biological psychiatry · 2019Article
- Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders.Genome biology · 2018Article
- A unique role for DNA (hydroxy)methylation in epigenetic regulation of human inhibitory neurons.Science advances · 2018Article
- Looking Beyond the 5-HTTLPR Polymorphism: Genetic and Epigenetic Layers of Regulation Affecting the Serotonin Transporter Gene Expression.Molecular neurobiology · 2017Review
- Genome-wide mapping of genetic determinants influencing DNA methylation and gene expression in human hippocampus.Nature communications · 2017Article
- Article
- From profiles to function in epigenomics.Nature reviews. Genetics · 2017Review
- Decoding transcriptional enhancers: Evolving from annotation to functional interpretation.Seminars in cell & developmental biology · 2016Review
- Waddington, Dynamic Systems, and Epigenetics.Frontiers in behavioral neuroscience · 2016Article
- The developmental origins of complex behavior and neuropsychiatric disease.Genes, brain, and behavior · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Current evidence emerging from genome-wide association studies indicates that the genetic underpinnings of complex traits are likely attributable to genetic variation that changes gene expression, rather than (or in combination with) variation that changes protein-coding sequences. This is particularly compelling with respect to psychiatric disorders, as genetic changes in regulatory regions may result in differential transcriptional responses to developmental cues and environmental/psychosocial stressors. Until recently, however, the link between transcriptional regulation and psychiatric genetic risk has been understudied. Multiple obstacles have contributed to the paucity of research in this area, including challenges in identifying the positions of remote (distal from the promoter) regulatory elements (e.g. enhancers) and their target genes and the underrepresentation of neural cell types and brain tissues in epigenome projects - the availability of high-quality brain tissues for epigenetic and transcriptome profiling, particularly for the adolescent and developing brain, has been limited. Further challenges have arisen in the prediction and testing of the functional impact of DNA variation with respect to multiple aspects of transcriptional control, including regulatory-element interaction (e.g. between enhancers and promoters), transcription factor binding and DNA methylation. Further, the brain has uncommon DNA-methylation marks with unique genomic distributions not found in other tissues - current evidence suggests the involvement of non-CG methylation and 5-hydroxymethylation in neurodevelopmental processes but much remains unknown. We review here knowledge gaps as well as both technological and resource obstacles that will need to be overcome in order to elucidate the involvement of brain-relevant gene-regulatory variants in genetic risk for psychiatric disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.